Introduction to Text Mining_ Research Design, Data Collection, and Analysis-.pdf

Table of contents :
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Publisher Note......Page 3
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Copyright Page......Page 5
Brief Contents......Page 7
Detailed Contents......Page 9
Index......Page 0

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An Introduction to Text Mining

BUTUH LENGKAP HUB [email protected]

An Introduction to Text Mining Research Design, Data Collection, and Analysis Gabe Ignatow University of North Texas Rada Mihalcea University of Michigan

FOR INFORMATION: SAGE Publications, Inc. 2455 Teller Road Thousand Oaks, California 91320 E-mail: [email protected] SAGE Publications Ltd. 1 Oliver’s Yard 55 City Road London, EC1Y 1SP United Kingdom SAGE Publications India Pvt. Ltd. B 1/I 1 Mohan Cooperative Industrial Area Mathura Road, New Delhi 110 044 India SAGE Publications Asia-Pacific Pte. Ltd. 3 Church Street #10-04 Samsung Hub Singapore 049483

Copyright © 2018 by SAGE Publications, Inc. All rights reserved. No part of this book may be reproduced or utilized in any

form or by any means, electronic or mechanical, including photocopying, recording, or by any information storage and retrieval system, without permission in writing from the publisher. Printed in the United States of America Library of Congress Cataloging-in-Publication Data Names: Ignatow, Gabe, author. | Mihalcea, Rada, 1974- author. Title: An introduction to text mining : research design, data collection, and analysis / Gabe Ignatow, University of North Texas, Rada Mihalcea, University of Michigan. Description: Thousand Oaks : SAGE Publications, [2018] | Includes bibliographical references and index. Identifiers: LCCN 2017038203 | ISBN 9781506337005 (pbk. : alk. paper) Subjects: LCSH: Data mining. | Social sciences—Research. Classification: LCC QA76.9.D343 I425 2017 | DDC 006.3/12—dc23 LC record available at https://lccn.loc.gov/2017038203 This book is printed on acid-free paper. Acquisitions Editor: Helen Salmon Editorial Assistant: Megan O’Heffernan eLearning Editor: Chelsea Neve Production Editor: Kelly DeRosa Copy Editor: Megan Markanich Typesetter: C&M Digitals (P) Ltd. Proofreader: Wendy Jo Dymond Indexer: Joan Shapiro Cover Designer: Michael Dubowe Marketing Manager: Shari Countryman

Brief Contents Acknowledgments Preface About the Authors PART I ∎ FOUNDATIONS Chapter 1 Text Mining and Text Analysis Chapter 2 Acquiring Data Chapter 3 Research Ethics Chapter 4 The Philosophy and Logic of Text Mining PART II ∎ RESEARCH DESIGN AND BASIC TOOLS Chapter 5 Designing Your Research Project Chapter 6 Web Scraping and Crawling PART III ∎ TEXT MINING FUNDAMENTALS Chapter 7 Lexical Resources Chapter 8 Basic Text Processing Chapter 9 Supervised Learning PART IV ∎ TEXT ANALYSIS METHODS FROM THE HUMANITIES AND SOCIAL SCIENCES Chapter 10 Analyzing Narratives Chapter 11 Analyzing Themes Chapter 12 Analyzing Metaphors PART V ∎ TEXT MINING METHODS FROM COMPUTER SCIENCE Chapter 13 Text Classification Chapter 14 Opinion Mining Chapter 15 Information Extraction Chapter 16 Analyzing Topics PART VI ∎ WRITING AND REPORTING YOUR RESEARCH Chapter 17 Writing and Reporting Your Research Appendix A. Data Sources for Text Mining Appendix B. Text Preparation and Cleaning Software Appendix C. General Text Analysis Software Appendix D. Qualitative Data Analysis Software Appendix E. Opinion Mining Software

Appendix F. Concordance and Keyword Frequency Software Appendix G. Visualization Software Appendix H. List of Websites Appendix I. Statistical Tools Glossary References Index

Detailed Contents Acknowledgments Preface Note to the Reader About the Authors PART I ∎ FOUNDATIONS Chapter 1 Text Mining and Text Analysis Learning Objectives Introduction Six Approaches to Text Analysis Conversation Analysis Analysis of Discourse Positions Critical Discourse Analysis Content Analysis Foucauldian Analysis Analysis of Texts as Social Information Challenges and Limitations of Using Online Data Social Surveys Ethnography Historical Research Methods Conclusion Key Terms Highlights Review Questions Discussion Questions Developing a Research Proposal Further Reading Chapter 2 Acquiring Data Learning Objectives Introduction Online Data Sources Advantages and Limitations of Online Digital Resources for Social Science Research Examples of Social Science Research Using Digital Data